About Us Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.

In just four years, we have raised a total of $120 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.

We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.

Our unwavering commitment to innovation has firmly established us as a global industry pioneer.

Are you up for the challenge?

Position Overview As a Senior Test Engineer at Axelera AI, you will own end-to-end quality for our AI software stack running on the Metis inference accelerator. You will work directly with hardware and software engineers to validate functional correctness, inference performance, and model accuracy across multiple deployment platforms. This is a high-impact, hands-on engineering role — not a process management position.

You will define testing strategy, build automation infrastructure, and be the quality signal that ships product confidently.

Key responsibilities: Test Strategy & Ownership

• Define and own the end-to-end test strategy for the Axelera AI software stack, spanning functional, performance, accuracy, and regression testing.
• Architect and maintain test frameworks that scale across multiple hardware platforms and software stack versions.
• Drive decisions on tooling adoption and testing infrastructure with limited supervision.

Hardware-Software Co-Validation

• Design and execute test plans that validate software behaviour on the Metis AIPU, including driver interfaces, runtime correctness, and hardware-software integration points.
• Develop tests that catch issues arising at the boundary between compiler output, runtime scheduling, and accelerator execution.

Performance & Accuracy Testing

• Build and maintain benchmarks for latency, throughput, and power efficiency across supported models and hardware configurations.
• Validate model accuracy after compilation and quantization, ensuring fidelity to reference implementations meets defined tolerances.
• Identify and investigate accuracy-vs-performance trade-offs and report findings clearly to development teams.

Automation & CI/CD

• Implement and maintain automated test pipelines integrated into CI/CD workflows (e.g., GitLab CI)
• Write robust test scripts in Python and Shell; champion automated regression coverage as a first-class deliverable.
• Monitor test infrastructure health and drive improvements in test reliability and execution speed.

Defect Management & Collaboration

• Analyze, reproduce, and clearly document software defects; work closely with developers to prioritize and track resolution.
• Participate in design reviews and architecture discussions to raise quality concerns early in the development cycle.
• Provide technical mentorship to junior SQA engineers and contribute to team processes and best practices.

Core Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• 5+ years of hands-on software quality assurance experience, with at least 2 years in a senior or lead capacity.
• Strong proficiency in Python for test automation; working knowledge of C/C++ and Shell scripting.
• Proven experience building and maintaining CI/CD-integrated test pipelines (GitLab CI, Jenkins, or equivalent).
• Solid understanding of software testing methodologies: unit, integration, system, regression, performance, and accuracy testing.
• Strong debugging and root-cause analysis skills across complex, multi-layered software systems.

Preferred:

• Experience testing AI/ML systems: model compilation pipelines, quantization validation, or inference runtime correctness.
• Familiarity with ONNX, TFLite, or similar model interchange formats.
• Exposure to NPU, AIPU, GPU, or other inference accelerator bring-up and hardware-software co-validation.
• Knowledge of parallel and distributed computing, multi-threading, and multi-core or accelerator architectures.
• Experience with power testing in embedded or edge AI deployment scenarios.
• Prior experience in a startup or fast-paced hardware-software product environment.

What Success Looks Like (First 12 Months)

• You have mapped coverage gaps in the existing test suite and delivered a remediation plan within the first 90 days.
• Key performance and accuracy benchmarks are automated and running in CI, providing continuous signal on regression across all supported hardware platforms.
• Defect detection rates have measurably improved; critical issues are being caught before release rather than in field validation.
• You are a trusted technical voice in design reviews and cross-functional planning sessions.

Location We offer a flexible working arrangement, with options to:

• Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity.
• Work fully remotely from any European country (incl. the UK) you are already in.
• Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).

What We offer This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.

An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.

At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.